The iPhone X's Face ID can be fooled by identical twins

A recent incident reveals a potential security loophole in Apple's Face ID technology on the iPhone X. The system was found to be vulnerable when confronted with identical twins. This raises concerns about responsible AI governance and the importance of safe and secure AI systems.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.519, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.500, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.488, rank 3. TAIM detail and related incidents →

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For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/32

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.